Zero to Cloud Public engineering lab
Lab online
LAB / CLD-00 MODE / BUILD IN PUBLIC

Welcome to Zero to Cloud

Zero to Cloud

Every great system starts at zero.

A public engineering lab where Linux lessons become infrastructure, software, AI systems, and working knowledge.

Explore the systems View the build log

Public engineering lab

Build real systems from first principles.

Linux infrastructure, AI systems, evidence-driven software, and real-world deployments — built, tested, and documented in one engineering lab.

Explore the systems View the build log
Strata FLAGSHIP / 01 Saul ACTIVE / 02 CloudLab ONLINE / 03

Mode
Signal
Output
SYS.01 Strata Governed intelligence, evidence, and reviewable outputs. Inspect

Live Systems

Intelligence systems built on a working engineering lab.

Two public systems sit on top of CloudLab, the infrastructure foundation that builds and tests every project in the lab.

STATUS / CONTINUOUS DEVELOPMENT

SYS.01 Flagship

Governed intelligence

Strata

Our flagship governance and evidence platform. Strata turns raw data, research signals, and reasoning into governed, reviewable outputs: versioned contracts and schemas, validators, and review gates keep provenance and authority explicit and testable.

Mode
Governed
Signal
Evidence
Output
Reviewable
SYS.02 Active

Legal intelligence

Saul

Transparent legal assistance built around evidence catalogs, reviewable reasoning, citations, and reproducible outputs.

Mode
Local-first
Signal
Evidence
Output
Reviewable
SYS.03 Online

Engineering infrastructure

CloudLab

The Linux, containers, networking, hardware, and deployment foundation that every project in the lab is built and tested on. Powered by the Hermes agent and automation stack. CloudLab is infrastructure, not a commercial product.

Mode
Hands-on
Signal
Telemetry
Output
Operational

Inside CloudLab

OPERATIONAL LAB BUILD

Home Media Server

A repurposed system turned into a Linux-based family media server, combining containerized services, storage, networking, media management, and ongoing system administration.

  • Ubuntu
  • Jellyfin
  • Docker
  • Compose
  • Storage
  • Networking

Current Mission

Make the reasoning inspectable.

Saul is the active build: turning legal source material into structured case answers without hiding the path from evidence to conclusion.

MISSION / SAUL ACTIVE BUILD

tighten evidence -> render answers -> test outputs

Current objective

Tighten the evidence catalog, answer-card rendering, and smoke tests before expanding the case library.

Stack
Python / SQLite / static exports
Constraint
Local-first and reviewable
Operating mode
Ship small / test locally / document change
  1. 01
    Source intakeCase material structured
    READY
  2. 02
    Evidence catalogTraceability under review
    ACTIVE
  3. 03
    Answer cardsRendering and smoke tests
    NEXT
  4. 04
    Case libraryExpand after validation
    QUEUED

Real-World Deployment

From lab builds to live client work.

Zero to Cloud engineering is not only internal experiments. BioActive is a commercial client implementation shipped as a live web and client build.

STATUS / CLIENT DELIVERY

CLIENT IMPLEMENTATION

BioActive

A real-world commercial engagement showing that Zero to Cloud work extends beyond the lab into client delivery.

BioActive is built and operated as a live web and client implementation: a presentation and media pipeline delivering biological-intelligence and sustainability content to a real audience. The same engineering discipline behind CloudLab and Strata — versioned builds, inspectable state, and reproducible delivery — carries through to the client.

  • Live web/client build for a commercial client
  • Presentation and media pipeline
  • Versioned, reproducible delivery
  • Built on the same lab foundation as internal projects

Dream Hardware Roadmap

Grow capability, not clutter.

The hardware plan scales only when a real experiment requires it. These are capability targets, not purchase commitments.

HORIZON / ASPIRATIONAL

CLOUDLAB / FUTURE RACKREV.00
U05NETWORKSEGMENT / OBSERVE
U04COMPUTECONTAINERS / SERVICES
U03ACCELERATORMODELS / EVALUATION
U02STORAGEDATA / BACKUPS
U01POWERQUIET / EFFICIENT
  1. TARGET 01

    Quiet compute node

    Power-efficient Linux capacity for long-running services, containers, backups, and experiments.

    FOUNDATION
  2. TARGET 02

    Accelerated AI workstation

    Dedicated GPU capacity for local inference, model evaluation, and larger data workflows.

    EXPANSION
  3. TARGET 03

    Resilient lab cluster

    Multiple nodes, shared storage, observability, and failure-aware services operating as one lab.

    DREAM STATE

Learning Journey

Knowledge compounds through use.

The path is recursive: learn a layer, build with it, expose the next question, then return with a stronger system.

PATH / ZERO TO CLOUD

  1. 00

    ORIGIN

    First command

    Curiosity becomes a repeatable action.

    TERMINAL / QUESTIONS
  2. 01

    FOUNDATION

    Linux

    Own the environment and understand the machine.

    SHELL / FILES / PROCESSES
  3. 02

    SYSTEMS

    Infrastructure

    Connect services, containers, storage, and networks.

    DOCKER / NETWORKING
  4. 03

    BUILD

    Software and data

    Turn ideas into tools with inspectable state.

    PYTHON / SQLITE / GIT
  5. 04

    INTELLIGENCE

    AI systems

    Join models, evidence, tools, and evaluation.

    LOCAL MODELS / AGENTS
  6. 05

    DEPLOY

    Cloud

    Operate what was built and begin the loop again.

    SHIP / OBSERVE / REPEAT

Build Log

Notes from the workbench.

Progress includes what changed, what broke, what was learned, and what the next build needs.

6 MILESTONES / FIELD NOTES

  1. LOG.006 / CLOUDLAB

    Home Media Server — operational lab build

    A repurposed machine became a Linux-based family media server: containerized services, storage, networking, media management, and ongoing administration.

    OPERATIONAL

  2. LOG.005 / STRATA

    Strata — governed platform foundation

    Established versioned contracts and schemas, governance and readiness validators, signed authority records, review gates, and a test suite around evidence and provenance.

    BUILDING

  3. LOG.004 / DEPLOYMENT

    BioActive — live client implementation

    Delivered a real-world commercial web and client build, extending lab engineering into client delivery.

    SHIPPED

  4. LOG.003 / SAUL

    Saul — legal intelligence system

    Built evidence catalogs, reviewable reasoning, citation handling, and reproducible answer outputs for BC legal case work.

    ACTIVE

  5. LOG.002 / CLOUDLAB

    CloudLab — Linux and local AI foundation

    Stood up the lab environment: Linux, containers, networking, hardware, and local AI, with the Hermes agent stack driving automation.

    ONLINE

  6. LOG.001 / PRINCIPLES

    Mission framing

    Set the direction: build real AI, Linux, and cloud projects in public, and make the reasoning inspectable.

    RECORDED

Engineering Philosophy

The work is the curriculum.

Learn. Build. Deploy. Repeat.
  1. 01Build real projects.

    Ideas become useful when they meet constraints.

  2. 02Explain what breaks.

    Failure is engineering data, not a footnote.

  3. 03Share the process.

    The decisions are as valuable as the result.

  4. 04Keep improving.

    Every deployed system is the next starting point.

Technology Stack

Tools chosen by the work.

Open, local-first building blocks spanning hardware, software, data, and deployment.

12 COMPONENTS / EVOLVING

  • LinuxOperating system01
  • UbuntuDistribution02
  • PythonLanguage03
  • DockerRuntime04
  • GitVersion control05
  • GitHubCollaboration06
  • SQLiteData07
  • OllamaLocal models08
  • NVIDIAAccelerated compute09
  • AMDCompute10
  • HTML5Interface11
  • CSS3Interface system12